Data governance with Gen AI/AI

CITI; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

CITI in Bengaluru seeks a seasoned data quality and governance professional to maintain catalogs, map data lineage, and ensure policy compliance. The role involves profiling large datasets, defining business rules, and implementing data quality checks with Python, SQL, and AI-enabled techniques.

You will monitor pipelines, triage issues, and collaborate with data stewards, IT, and analytics teams in a fast-paced banking environment. Strong communication and leadership are essential.

Qualifications

• Proficient in Python, SAS, SQL, Teradata, Collibra.
• Experience with prompt engineering.
• Experience building LLM-based applications, AI agents, or autonomous workflows.
• Exposure to LangChain / LangGraph frameworks.
• Exposure to creating multi-agent orchestration.
• Exposure to BI tools and technologies – Tableau.
• Automation and process re-engineering / optimization skills.
• Audit Framework.
• Data quality framework.
• Risk & control Metrics.
• Knowledge of Finance Regulations.
• Understanding of Audit Process.
• Ability to articulate and solve complex business problems for senior management.
• Excellent communication and inter-personal skills.
• Good process/project management skills.
• Mentoring junior members in the team.
• Ability to work across multiple functional areas.
• Thrives in a dynamic fast-paced environment.

Responsibilities

• Maintain Data Catalog/Dictionary with metadata and data lineage.
• Map data lineage from sources to reporting to identify impact areas.
• Ensure data assets adhere to governance policies and privacy regulations.
• Profile large datasets to understand structure and content.
• Define and validate business rules for data quality.
• Develop and implement data quality rules and controls.
• Monitor data pipelines and dashboards for DQ issues.
• Document and triage data quality issues in a tracking system.
• Develop remediation plans including data cleansing and automated corrections.
• Collaborate with data stewards, IT, and developers on solutions.
• Design and develop AI-powered data quality solutions.

Skills

Python

SAS

SQL

Teradata

Collibra

Prompt engineering

LangChain

BI tools

Tableau

Automation

Audit framework

Data quality

Risk metrics

Finance regs

Audit process

Communication

Project management

Mentoring

Cross-functional work

Education

MBA or Masters in Economics/Statistics/Math/IT/CA

B.Tech/B.E in IT/IS/CA

Post Graduate in CS/Mathematics/OR/Management Science

Tools

LangChain

LangGraph

Tableau

Teradata tools

Collibra platform

Job description

ROLE

• Maintain Data Catalog/Dictionary: Document and maintain business, technical, and operational metadata, including data lineage, definitions, and data standards
• Data Lineage Mapping: Utilize metadata to map data lineage, understanding how data flows from source systems to downstream reporting to identify potential impact areas
• Policy Compliance: Ensure all data assets adhere to defined data governance policies and data privacy regulations
• Profiling Execution: Perform deep profiling of large datasets to understand data structure, patterns, and content, identifying hidden anomalies or missing information
• Rule Definition: Collaborate with business stakeholders to define and validate business rules for data validation
• Rule Authoring/Implementation: Develop and implement data quality rules, checks, and preventative/detective controls using SQL, Python, or specialized DQ tools
• Continuous Monitoring: Actively monitor data pipelines, ETL processes, and dashboards to proactively identify DQ issues and operational anomalies
• Issue Resolution: Identify, document, and triage data quality issues through a tracking system
• Remediation Action Plans: Develop and execute remediation plans, including data cleansing efforts and automated corrections
• Cross-Functional Collaboration: Partner with data stewards, IT, and developers to resolve data issues and implement long-term solutions
• Design and Develop AI powered solution across data Quality lifecycle utilizing Agentic AI frameworks

REQUIREMENTS

• Proficient in Python, SAS, SQL, Teradata, Collibra
• Experience with prompt engineering
• Experience building LLM-based applications, AI agents, or autonomous workflows
• Exposure to LangChain / LangGraph frameworks
• Exposure to creating multi-agent orchestration
• Exposure to BI tools and technologies – example: Tableau
• Automation and process re-engineering / optimization skills
• Audit Framework
• Data quality framework
• Risk & control Metrics
• Knowledge of Finance Regulations
• Understanding of Audit Process
• Ability to identify, clearly articulate and solve complex business problems and present them to the senior management or partners in a structured and simpler form
• Excellent communication and inter-personal skills
• Good process/project management skills
• Mentoring junior members in the team
• Ability to work well across multiple functional areas
• Ability to thrive in a dynamic and fast-paced environment
• MBA / Masters Degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute
• BTech / B.E in Information Technology / Information Systems / Computer Applications
• Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields
• 5+ years of hands-on experience in people management, delivering data quality, MIS, data management with at least 2-3 years’ experience in Banking Industry